Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

P Saiteja, B Ashok, AS Wagh… - International Journal of …, 2022 - Wiley Online Library
Vehicle technology advances and the world shifts towards E‐mobility, improving the
performance of electric vehicles (EVs) and HEVs, which are becoming the prominent focus …

Toward carbon–neutral transportation electrification: a comprehensive and systematic review of eco-driving for electric vehicles

W Li, H Ding, N Xu, J Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In order to forward the development of transportation electrification and reach the goal of
carbon neutrality, eco-driving techniques for electric vehicles (EVs) are widely concerned …

A computationally efficient path-following control strategy of autonomous electric vehicles with yaw motion stabilization

N Guo, X Zhang, Y Zou, B Lenzo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article proposes a computationally efficient path-following control strategy of
autonomous electric vehicles (AEVs) with yaw motion stabilization. First, the nonlinear …

A real-time approach for chance-constrained motion planning with dynamic obstacles

M Castillo-Lopez, P Ludivig… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Uncertain dynamic obstacles, such as pedestrians or vehicles, pose a major challenge for
optimal robot navigation with safety guarantees. Previous work on optimal motion planning …

Evaluation of the driving performance and user acceptance of a predictive eco-driving assistance system for electric vehicles

SK Chada, D Görges, A Ebert, R Teutsch… - … research part C …, 2023 - Elsevier
In this work, a predictive eco-driving assistance system (pEDAS) with the goal to assist
drivers in improving their driving style and thereby reducing the energy consumption in …

An AI-assisted systematic literature review of the impact of vehicle automation on energy consumption

M Noroozi, HR Moghaddam, A Shah… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Impacts of vehicle automation and connectivity have been studied widely from the
perspectives of fuel economy, ecology, and safety. Synthesis of various segments of this …

Energy-Saving Driving Assistance System Integrated With Predictive Cruise Control for Electric Vehicles

J Hong, X Luo, H Wu, X Na, H Chu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A novel energy-saving driving assistance system (DAS) for electric vehicles (EVs) integrated
with predictive cruise control (PCC) is proposed in this paper to extend the driving range …

Driving behavior oriented torque demand regulation for electric vehicles with single pedal driving

Y Zhang, Y Huang, H Chen, X Na, Z Chen, Y Liu - Energy, 2021 - Elsevier
Driving behaviors, induced by psychological activities and environment stimulation, impose
the dominant impact on vehicle driving performance. To exhaustively improve the …

Combined energy-oriented path following and collision avoidance approach for autonomous electric vehicles via nonlinear model predictive control

GN Bifulco, A Coppola, SG Loizou… - … on Environment and …, 2021 - ieeexplore.ieee.org
This paper addresses the problem of computing an eco-driving speed profile for an
autonomous electric vehicle traveling along curvy roads while ensuring path following/car …

Stochastic model predictive control for driver assistance control of intelligent vehicles considering uncertain driving environment

Y Chen, Y Song, L Shi, J Gao - Journal of Vibration and …, 2023 - journals.sagepub.com
Advanced driver assistance control faces great challenges in cooperating with the nearby
vehicles. The assistance controller of an intelligent vehicle has to provide control efforts …